"Why Should I Trust You?": Explaining the Predictions of Any Classifier

16 February 2016

Papers citing ""Why Should I Trust You?": Explaining the Predictions of Any Classifier"

50 / 4,247 papers shown

Title
Explaining Unreliable Perception in Automated Driving: A Fuzzy-based Monitoring Approach Aniket Salvi Gereon Weiss Mario Trapp 7 0 0 20 May 2025
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data Yifan Zeng 14 0 0 20 May 2025
Enhancing Interpretability of Sparse Latent Representations with Class Information Farshad Sangari Abiz Reshad Hosseini Babak N. Araabi DRL 28 0 0 20 May 2025
BACON: A fully explainable AI model with graded logic for decision making problems Haishi Bai Jozo Dujmovic Jianwu Wang 7 0 0 20 May 2025
Explainable AI for Securing Healthcare in IoT-Integrated 6G Wireless Networks Navneet Kaur Lav Gupta 12 0 0 20 May 2025
Dementia Through Different Eyes: Explainable Modeling of Human and LLM Perceptions for Early Awareness Lotem Peled-Cohen Maya Zadok Nitay Calderon Hila Gonen Roi Reichart 12 0 0 19 May 2025
EPIC: Explanation of Pretrained Image Classification Networks via Prototype Piotr Borycki Magdalena Trędowicz Szymon Janusz Jacek Tabor Przemysław Spurek Arkadiusz Lewicki Łukasz Struski 9 0 0 19 May 2025
Towards Budget-Friendly Model-Agnostic Explanation Generation for Large Language Models Junhao Liu Haonan Yu Xin Zhang LRM 9 0 0 18 May 2025
Fixed Point Explainability Emanuele La Malfa Jon Vadillo Marco Molinari Michael Wooldridge 7 0 0 18 May 2025
AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Yifan Dai Xuanbai Ren Tengfei Ma Qipeng Yan Yiping Liu Yuansheng Liu Xiangxiang Zeng 27 0 0 17 May 2025
LAMP: Extracting Locally Linear Decision Surfaces from LLM World Models Ryan Chen Youngmin Ko Zeyu Zhang Catherine Cho Sunny Chung Mauro Giuffré Dennis L. Shung Bradly C. Stadie 6 0 0 17 May 2025
Attribution Projection Calculus: A Novel Framework for Causal Inference in Bayesian Networks M Ruhul Amin 2 0 0 17 May 2025
Explaining Strategic Decisions in Multi-Agent Reinforcement Learning for Aerial Combat Tactics Ardian Selmonaj Alessandro Antonucci Adrian Schneider Michael Rüegsegger Matthias Sommer 22 0 0 16 May 2025
Heart2Mind: Human-Centered Contestable Psychiatric Disorder Diagnosis System using Wearable ECG Monitors Hung Nguyen Alireza Rahimi Veronica Whitford Hélène Fournier Irina Kondratova René Richard Hung Cao 9 0 0 16 May 2025
Minimizing False-Positive Attributions in Explanations of Non-Linear Models Anders Gjølbye Stefan Haufe Lars Kai Hansen 19 0 0 16 May 2025
A Fast Kernel-based Conditional Independence test with Application to Causal Discovery Oliver Schacht Biwei Huang 17 0 0 16 May 2025
Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI Meghali Nandi Arash Shaghaghi Nazatul Haque Sultan Gustavo Batista Raymond K. Zhao Sanjay Jha AAML 9 0 0 16 May 2025
Analysis of Customer Journeys Using Prototype Detection and Counterfactual Explanations for Sequential Data Keita Kinjo 7 0 0 16 May 2025
PnPXAI: A Universal XAI Framework Providing Automatic Explanations Across Diverse Modalities and Models Seongun Kim Sol A Kim Geonhyeong Kim Enver Menadjiev Chanwoo Lee Seongwook Chung Nari Kim Jaesik Choi 31 0 0 15 May 2025
Evaluating Model Explanations without Ground Truth Kaivalya Rawal Zihao Fu Eoin Delaney Chris Russell FAtt XAI 31 0 0 15 May 2025
Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods Fahad Almalki Mehedi Masud 29 0 0 15 May 2025
A User Study Evaluating Argumentative Explanations in Diagnostic Decision Support Felix Liedeker Olivia Sanchez-Graillet Moana Seidler Christian Brandt Jörg Wellmer Philipp Cimiano 26 0 0 15 May 2025
Explainability Through Human-Centric Design for XAI in Lung Cancer Detection Amy Rafferty Rishi Ramaesh Ajitha Rajan 19 0 0 14 May 2025
Implet: A Post-hoc Subsequence Explainer for Time Series Models Fanyu Meng Ziwen Kan Shahbaz Rezaei Z. Kong Xin Chen Xin Liu AI4TS 29 0 0 13 May 2025
Integrating Natural Language Processing and Exercise Monitoring for Early Diagnosis of Metabolic Syndrome: A Deep Learning Approach Yichen Zhao Yucheng Wang Xi Cheng Junhao Fang Yang Yang 29 0 0 13 May 2025
AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Aman Raj Lakshit Arora Sanjay Surendranath Girija Shashank Kapoor Dipen Pradhan Ankit Shetgaonkar 24 0 0 13 May 2025
Tuning for Trustworthiness -- Balancing Performance and Explanation Consistency in Neural Network Optimization Alexander Hinterleitner T. Bartz-Beielstein 21 0 0 12 May 2025
The Pitfalls of Benchmarking in Algorithm Selection: What We Are Getting Wrong G. Petelin Gjorgjina Cenikj 34 0 0 12 May 2025
From Search To Sampling: Generative Models For Robust Algorithmic Recourse Prateek Garg Lokesh Nagalapatti Sunita Sarawagi 31 0 0 12 May 2025
DocVXQA: Context-Aware Visual Explanations for Document Question Answering Mohamed Ali Souibgui Changkyu Choi Andrey Barsky Kangsoo Jung Ernest Valveny Dimosthenis Karatzas 28 0 0 12 May 2025
A Federated Random Forest Solution for Secure Distributed Machine Learning Alexandre Cotorobai Jorge Miguel Silva Jose Luis Oliveira OOD FedML 37 0 0 12 May 2025
Interpretable Event Diagnosis in Water Distribution Networks André Artelt Stelios G. Vrachimis Demetrios G. Eliades Ulrike Kuhl Barbara Hammer Marios M. Polycarpou 36 0 0 12 May 2025
Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering Payal Varshney Adriano Lucieri Christoph Balada Andreas Dengel Sheraz Ahmed DiffM 39 0 0 11 May 2025
Explainable AI the Latest Advancements and New Trends Bowen Long Enjie Liu Renxi Qiu Yanqing Duan XAI 40 0 0 11 May 2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato Choong Seon Hong AI4CE 36 0 0 11 May 2025
Decoding Futures Price Dynamics: A Regularized Sparse Autoencoder for Interpretable Multi-Horizon Forecasting and Factor Discovery Abhijit Gupta 31 0 0 11 May 2025
Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users Julian Rosenberger Philipp Schröppel Sven Kruschel Mathias Kraus Patrick Zschech Maximilian Förster FAtt 29 0 0 11 May 2025
Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Dima Alattal Asal Khoshravan Azar P. Myles Richard Branson Hatim Abdulhussein Allan Tucker 29 0 0 10 May 2025
Human in the Latent Loop (HILL): Interactively Guiding Model Training Through Human Intuition Daniel Geissler Lars Krupp Vishal Banwari David Habusch Bo Zhou Paul Lukowicz Jakob Karolus 36 0 0 09 May 2025
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection Moritz Vandenhirtz Julia E. Vogt 38 0 0 09 May 2025
Short-circuiting Shortcuts: Mechanistic Investigation of Shortcuts in Text Classification Leon Eshuijs Shihan Wang Antske Fokkens 31 0 0 09 May 2025
Reasoning Models Don't Always Say What They Think Yanda Chen Joe Benton Ansh Radhakrishnan Jonathan Uesato Carson E. Denison ... Vlad Mikulik Samuel R. Bowman Jan Leike Jared Kaplan E. Perez ReLM LRM 68 15 1 08 May 2025
Retrieval Augmented Generation Evaluation for Health Documents Mario Ceresa Lorenzo Bertolini Valentin Comte Nicholas Spadaro Barbara Raffael ... Sergio Consoli Amalia Muñoz Piñeiro Alex Patak Maddalena Querci Tobias Wiesenthal RALM 3DV 39 0 1 07 May 2025
Prediction via Shapley Value Regression Amr Alkhatib Roman Bresson Henrik Bostrom Michalis Vazirgiannis TDI FAtt 64 0 0 07 May 2025
Exploring Convolutional Neural Networks for Rice Grain Classification: An Explainable AI Approach Muhammad Junaid Asif Hamza Khan Rabia Tehseen Syed Tahir Hussain Rizvi Mujtaba Asad Shazia Saqib Rana Fayyaz Ahmad 26 0 0 07 May 2025
Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Tomás Capdevielle Santiago Cifuentes FAtt 45 0 0 06 May 2025
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review Sonal Allana Mohan Kankanhalli Rozita Dara 32 0 0 05 May 2025
A New Approach to Backtracking Counterfactual Explanations: A Causal Framework for Efficient Model Interpretability Pouria Fatemi Ehsan Sharifian Mohammad Hossein Yassaee 43 0 0 05 May 2025
Robustness questions the interpretability of graph neural networks: what to do? Kirill Lukyanov Georgii Sazonov Serafim Boyarsky Ilya Makarov AAML 200 0 0 05 May 2025
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis Xuechao Wang S. Nõmm Junqing Huang Kadri Medijainen A. Toomela Michael Ruzhansky AAML FAtt 26 0 0 04 May 2025